Pain management in chronic kidney disease: the pharmacokinetics and pharmacodynamics of hydromorphone and hydromorphone-3-glucuronide in hemodialysis patients.
Bibliographic record
Abstract
OBJECTIVE: To describe the pharmacokinetics of hydromorphone (HM) and its primary metabolite hydromorphone-3-glucuronide (H3G) both on and off dialysis in relation to the pharmacodynamic measurements of pain. DESIGN: Prospective, open-label, observational study. SETTING: Canadian, university-based renal program. PARTICIPANTS: Twelve anuric hemodialysis patients with chronic pain, established on immediate-release HM. MAIN OUTCOME MEASURES: HM and H3G plasma concentrations were measured during and between hemodialysis treatments using a reverse-phase high-performance liquid chromatography assay with liquid chromatography/mass spectrometer/mass spectrometer detection. The McGill Pain Questionnaire (MPQ) and a Visual Analogue Scale (VAS) were used to measure pain. Noncompartmental analyses were conducted. Adverse effects were recorded. RESULTS: HM did not substantially accumulate (accumulation factor R = 2.7 (1.6)), most likely due to the rapid conversion to H3G. Conversely, H3G accumulated between dialysis treatments (R = 12.5 (12.1)) but appeared to be effectively removed during hemodialysis (1.8 (0.7), p = 0.03). HM resulted in > 65 percent reduction in pain over dosing intervals. Mean MPQ pain scores decreased from 39.8 (18.2) to 12.3 (16.2) on dialysis and from 35.0 (18.5) to 15.5 (13.6) between dialysis treatments. Mean VAS pain scores decreased from 7.5 (2.5) to 3.0 (1.5) on dialysis and from 5.9 (3.2) to 4.4 (1.6) between dialysis treatments. No clinically significant opioid toxicity was observed. The accumulation of H3G between hemodialysis treatments was associated with greater sensory-type pain (r = 0.76, p < 0.0001) and reduced duration of analgesia. CONCLUSIONS: HM may be a safe and effective opioid for use in selected hemodialysis patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".